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sparsebased

于 2020-12-21 发布 文件大小:102KB
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代码说明:

  一种基于稀疏表示的图像融合方法,基于论文《Information Fusion》论文Joint patch clustering-based dictionary learning for multimodal image fusion 进行编写 结果相似(A sparse based image fusion method. It is based on paper Joint patch clustering-based dictionary learning for multimodal image fusion of Information Fusion The results is almost the same to this paper)

文件列表:

sparsebased


...........\ckr2_regular.m,2459,2008-04-14
...........\clustering.m,1151,2016-03-29
...........\construction.m,2102,2016-11-25
...........\Dic_learning.m,159,2016-11-17
...........\downsample2.m,246,2016-03-19
...........\EdgeMirror.m,406,2016-03-19
...........\gaussian.m,202,2016-03-19
...........\Hfusion_clear.m,375,2016-11-25
...........\Highfusion_plus_clear.m,189,2016-11-19
...........\image_kernel.m,973,2016-03-29
...........\Lowfusion.m,307,2016-03-21
...........\Lowfusion3.m,316,2016-08-11
...........\ompbox10
...........\........\Contents.m,559,2016-03-21
...........\........\faq.txt,1810,2016-03-21
...........\........\omp.m,5294,2016-03-21
...........\........\omp2.m,6218,2016-03-21
...........\........\ompdemo.m,2386,2016-03-21
...........\........\ompspeedtest.m,1635,2016-03-21
...........\........\ompver.m,8358,2016-03-21
...........\........\private
...........\........\.......\make.m,811,2016-03-21
...........\........\.......\mexutils.c,2219,2016-03-21
...........\........\.......\mexutils.h,3655,2016-03-21
...........\........\.......\myblas.c,12510,2016-03-21
...........\........\.......\myblas.h,14673,2016-03-21
...........\........\.......\omp2mex.c,3490,2016-03-21
...........\........\.......\omp2mex.m,896,2016-03-21
...........\........\.......\omp2mex.mexw64,23040,2016-03-21
...........\........\.......\ompcore.c,12354,2016-03-21
...........\........\.......\ompcore.h,3118,2016-03-21
...........\........\.......\ompmex.c,2820,2016-03-21
...........\........\.......\ompmex.m,792,2016-03-21
...........\........\.......\ompmex.mexw64,22528,2016-03-21
...........\........\.......\ompprof.c,4523,2016-03-21
...........\........\.......\ompprof.h,3082,2016-03-21
...........\........\.......\omputils.c,1933,2016-03-21
...........\........\.......\omputils.h,2272,2016-03-21
...........\........\.......\printf.m,693,2016-03-21
...........\........\readme.txt,1307,2016-03-21
...........\Patches_get.m,692,2015-12-03
...........\Rgb2ycbcr_func.m,117,2016-11-25
...........\skr2_regular.m,3326,2008-04-14
...........\sparse_fusion_plus.m,1877,2016-11-19
...........\SPFUSION.m,1282,2016-11-25
...........\sp_fusion_kimnew.m,4074,2016-11-25
...........\steering.m,1381,2008-04-14
...........\ycbcr2RGB_func.m,120,2016-11-25

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    积分:1
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    3、 请采用学过的图像复原算法(鼓励自己研究新算法),对 blur3.jpg、 sadhna_53_45.bmp和telescope.bmp 图像进行复原处理。(3, please use the learned image restoration algorithm (to encourage their study new algorithm), to blur3.jpg, sadhna_53_45.bmp and telescope.bmp image restoration processing.)
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    积分:1
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    通过统计直方图并作相应的处理完成了红外图像非均匀性校正,特别是针对红外图像中常见的条纹非均匀性(Through statistical histogram and processed accordingly infrared image non-uniformity correction, especially for the common striped infrared image non-uniformity)
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